Summary method for fitted msm models. This is simply a wrapper
around prevalence.msm which produces a table of observed and
expected state prevalences for each time, and for models with covariates,
hazard.msm to print hazard ratios with 95% confidence
intervals for covariate effects.
Usage
# S3 method for class 'msm'
summary(object, hazard.scale = 1, ...)Arguments
- object
A fitted multi-state model object, as returned by
msm.- hazard.scale
Vector with same elements as number of covariates on transition rates. Corresponds to the increase in each covariate used to calculate its hazard ratio. Defaults to all 1.
- ...
Further arguments passed to
prevalence.msm.
Value
A list of class summary.msm, with components:
- prevalences
Output from
prevalence.msm.- hazard
Output from
hazard.msm.- hazard.scale
Value of the
hazard.scaleargument.
Author
C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk